Ph.D. Course Requirements

To obtain a Ph.D. degree, the student must complete 48 credit hours of coursework (see below for transfer of credit from other institutions) and 24 hours of research credit. A typical course counts for 3 credits, and a full load for a student is 9 credits per semester. An overload for a student with an assistantship requires the approval of the Dean of the Graduate School. Less than a full load for a student with an assistantship requires the approval of the Graduate Director, which will be granted only in exceptional circumstances. Foreign students may be required by the university to take courses in English.

The 48 credit hours of coursework must include the following core courses, 3 credits each:
1. (F) 16:198:521 Linear Programming
2. (S) 16:198:522 Network and Combinatorial Optimization Algorithms
3. (S) 16:711:525 Stochastic Models in Operations Research
4. (S) 16:711:513 Discrete Optimization
5.*(S) 16:711:555 Stochastic Programming or 16:711:556 Queueing Theory
6. (S) 16:711:549 Topics in Applied Operations Research

*Choose one . (F-Fall semester) (S-Spring semester)
(F) 16:198:513 Design & Analysis of Data Structures & Algorithms
This course is a pre-requisite for the spring course 198:522 and must be taken in the fall.
Courses 1, 2, and 3 should be taken by all students in the first year. The topics in these are tested in Part I of the Ph.D. Qualifying Examination. Students are assumed to have a solid background in linear algebra, analysis, probability, statistics and computers.

The additional courses for the 48 credit hours can be chosen from the wide variety of courses related to Operations Research which are given at Rutgers. Sample courses of interest besides the ones accepted to meet the requirements are:

16:198:510 Numerical Analysis
16:198:513/514 Design and Analysis of Data Structures and Algorithms I/II
16:198:521 Linear Programming
16:198:522 Network and Combinatorial Optimization Algorithms
16:198:524 Nonlinear Programming Alogrithms
16:198:526 Advanced Numerical Analysis
16:198:528 Parallel Numerical Computing
16:198:535 Pattern Recognition Theory and Application
16:198:538 Complexity of Computation
16:198:541 Database Systems
16:220:500 Mathematical Methods for Microeconomics
16:220:501/502 Microeconomic-Theory I/II
16:220:503 Mathematical Methods for Microeconomics
16:220:507/508 Econometrics I/II
16:220:545 Uncertainty and Imperfect Information
16:220:546 Topics in Game Theory
16:390:571 Survey of Financial Theory
16:540:510 Deterministic Models in Industrial Engineering
16:540:515 Stochastic Models in Industrial Engineering
16:540:520 Design and Physical Distribution Systems
16:540:530 Forecasting and Time Series Analysis
16:540:555 Simulation of Production Systems
16:540:560 Production Analysis
16:540:565 Facilities Planning and Design
16:540:568 Automation and Computer Integrated Manufacturing
16:540:585 System Reliability Engineering
16:540:655 Performance Analysis of Manufacturing Systems
16:540:660 Inventory Control
16:540:665 Theory of Scheduling
16:642:573/574 Numerical Analysis
16:642:577/578 Selected Mathematical Topics in System Theory
16:642:581 Applied Graph Theory
16:642-582/583 Combinatorics I/II
16:642:585 Mathematical Models of Social & Policy Problems
16:642:586 Theory of Measurement
16:642:587 Selected Topics in Discrete Mathematics
16:642:588 Introduction to Mathematical Techniques in Operations Research
16:642:589 Topics in Mathematical Techniques in Operations Research
16:711:517 Computational Projects in Operations Research
16:711:553 Theory of Boolean Functions
16:711:554 Pseudo-Boolean Optimization
16:711:557 Dynamic Programming and Markov Decision Processes
16:711:631 Financial Mathematics
16:711:601/602 Seminar in Operations Research
16:711:611-614 Selected Topics in Operations Research
16:711:695-699 Independent Study in Operations Research
16:711:701/702 Research
16:960:540/541 Statistical Quality Control I/II
16:960:542 Life Data Analysis
16:960:563 Regression Analysis
16:960:567 Applied Multivariate Analysis
16:960:586/587 Interpretation of Data I/II
16:960:590 Design of Experiments
16:960:591 Advanced Design of Experiments
16:960:593 Theory of Statistics
16:960:652/653 Advanced Theory of Statistics
16:960:654 Stochastic Processes
16:960:663 Regression Theory
16:960:680/681 Advanced Probability Theory I/II
16:960:689 Sequential Methods
22:799:648:60 New Venture Development in a Supply Chain Environment
26:390:571 Survey of Financial Theory
26:390:662 Investment Analysis and Portfolio Theory
26:711:652 Non-Linear Programming
26:960:580 Stochastic Processes


New Brunswick is 33 miles south of New York city and 60 miles north of Philadelphia. Princeton is 16 miles away. New York and Philadelphia can be conveniently reached by train and there is regular bus service between New Brunswick and New York or Princeton.

Office Space

Office space is provided to all full-time graduate students who receive financial support, and, if possible, to all other full-time students as well.